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fix: rendering the pro image (#1054)

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* Update autoquality.md

* Update best_format.md

* Update chained_pipelines.md

* Update chaining_the_processing.md

* Update encrypting_the_source_url.md

* Update getting_the_image_info.md

* Update object_detection.md
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docs/autoquality.md
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# Autoquality![pro](/assets/pro.svg)
# Autoquality![pro](./assets/pro.svg)
imgproxy can calculate quality for your resultant images so they best fit the selected metric. The supported methods are [none](#none), [size](#autoquality-by-file-size), [dssim](#autoquality-by-dssim), and [ml](#autoquality-with-ml).

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docs/best_format.md
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# Best format![pro](/assets/pro.svg)
# Best format![pro](./assets/pro.svg)
You can use the `best` value for the [format](generating_the_url#format) option or the [extension](generating_the_url#extension) to make imgproxy pick the best format for the resultant image.

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docs/chained_pipelines.md
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# Chained pipelines![pro](/assets/pro.svg)
# Chained pipelines![pro](./assets/pro.svg)
Though imgproxy's [processing pipeline](about_processing_pipeline.md) is suitable for most cases, sometimes it's handy to run multiple chained pipelines with different options.

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docs/chaining_the_processing.md
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# Chaining the processing![pro](/assets/pro.svg)
# Chaining the processing![pro](./assets/pro.svg)
Though imgproxy's [processing pipeline](about_processing_pipeline.md) is suitable for most cases, sometimes it's handy to run multiple chained pipelines with different options.

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docs/encrypting_the_source_url.md
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# Encrypting the source URL![pro](/assets/pro.svg)
# Encrypting the source URL![pro](./assets/pro.svg)
If you don't want to reveal your source URLs, you can encrypt them with the AES-CBC algorithm.

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docs/getting_the_image_info.md
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# Getting the image info![pro](/assets/pro.svg)
# Getting the image info![pro](./assets/pro.svg)
imgproxy can fetch and return a source image info without downloading the whole image.

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docs/object_detection.md
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# Object detection![pro](/assets/pro.svg)
# Object detection![pro](./assets/pro.svg)
imgproxy can detect objects on the image and use them for smart cropping, bluring the detections, or drawing the detections.